Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

Kaiwartya, Omprakash; Abdullah, Abdul Hanan; Cao, Yue; Lloret, Jaime; Kumar, Sushil; Shah, Rajiv Ratn; Prasad, Mukesh; Prakash, Shiv

doi:10.1109/jiot.2017.2717704

Cited by 103 publications

(73 citation statements)

References 26 publications

(31 reference statements)

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“…A survey on WBANs have focused on three layers including routing, MAC and PHY layers considering IEEE 802.15.6 standard [4,18]. It has described the communication range between BMSs for on and in-body with different considerations.…”

Section: Related Literature Reviewsmentioning

confidence: 99%

“…The TDMA scheduling access is the reservation-based slots allocation mechanism and this scheduling access is used for slots of the CFP period of MAC IEEE 802.15.4 Superframe structure [18,31] as aforementioned in Fig. 3.…”

Section: Reservation-based Slots Allocationmentioning

confidence: 99%

“…The most widely adopted scheduling access scheme is the CSMA/CA due to its simplicity, and infrastructure-free for data transmission [18]. The slot allocation policy of CSMA/CA access scheme to BMSs is based on first come first serve (FCFS) mechanism [32] and it is implemented on CAP period of IEEE 802.15.4 MAC Superframe structure.…”

Section: Contention-based Slots Allocationmentioning

confidence: 99%

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Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Ullah

Abdullah

Kaiwartya

et al. 2017

Hum. Cent. Comput. Inf. Sci.

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Health monitoring using biomedical sensors has witnessed significant attention in recent past due to the evolution of a new research area in sensor network known as Wireless Body Area Networks (WBANs). In WBANs, a number of implantable, wearable, and off-body biomedical sensors are utilized to monitor various vital signs of patient’s body for early detection, and medication of grave diseases. In literature, a number of Medium Access Control (MAC) protocols for WBANs have been suggested for addressing the unique challenges related to reliability, delay, collision and energy in the new research area. The design of MAC protocols is based on multiple access techniques. Understanding the basis of MAC protocol designs for identifying their design objectives in broader perspective, is a quite challenging task. In this context, this paper qualitatively reviews MAC protocols for WBANs. Firstly, 802.15.4 and 802.15.6 based MAC Superframe structures are investigated focusing on design objectives. Secondly, different multiple access techniques such as TDMA, CSMA/CA, Slotted Aloha and Hybrid are explored in terms of design goals. Thirdly, a two-layered taxonomy is presented for MAC protocols. First layer classification is based on multiple access techniques, whereas second layer classification is based on design objectives and characteristics of MAC protocols. Critical and qualitative analysis is carried out for each considered MAC protocol. Comparative study of different MAC protocols is also performed. Finally, some open research challenges in the area are identified with initial research directions.

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Section: Related Literature Reviewsmentioning

confidence: 99%

Section: Reservation-based Slots Allocationmentioning

confidence: 99%

Section: Contention-based Slots Allocationmentioning

confidence: 99%

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Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Ullah

Abdullah

Kaiwartya

et al. 2017

Hum. Cent. Comput. Inf. Sci.

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“…In the case of gathering large amount of data from devices it creates multiple effects such as more energy consumption [54]. As a result new approaches and research can be introduced for reducing the device interactivity to minimize energy consumption in IoT applications [63][64][65][66]. In Figure 23, location-based interaction based on the cloud and IoT is illustrated.…”

Section: Interactivity Limitationsmentioning

confidence: 99%

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

Kumar

Kaiwartya

et al. 2017

Energies

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Abstract:Energy efficiency is a significant characteristic of battery-run devices such as sensors, RFID and mobile phones. In the present scenario, this is the most prominent requirement that must be served while introducing a communication protocol for an IoT environment. IoT network success and performance enhancement depend heavily on optimization of energy consumption that enhance the lifetime of IoT nodes and the network. In this context, this paper presents a comprehensive review on energy efficiency techniques used in IoT environments. The techniques proposed by researchers have been categorized based on five different layers of the energy architecture of IoT. These five layers are named as sensing, local processing and storage, network/communication, cloud processing and storage, and application. Specifically, the significance of energy efficiency in IoT environments is highlighted. A taxonomy is presented for the classification of related literature on energy efficient techniques in IoT environments. Following the taxonomy, a critical review of literature is performed focusing on major functional models, strengths and weaknesses. Open research challenges related to energy efficiency in IoT are identified as future research directions in the area. The survey should benefit IoT industry practitioners and researchers, in terms of augmenting the understanding of energy efficiency and its IoT-related trends and issues.

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“…The widely growing application domains for underwater sensor networks (UWSNs) have attracted potential attention in R&D from the Internet of Things (IoT)-oriented industries and academia [1][2][3]. The growing domains include border security-centric military applications [4,5], energy and cost-centric…”

Section: Introductionmentioning

confidence: 99%

W-GUN: Whale Optimization for Energy and Delay-Centric Green Underwater Networks

Rathore

Sangwan

Mazumdar

et al. 2020

Sensors

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Underwater sensor networks (UWSNs) have witnessed significant R&D attention in both academia and industry due to their growing application domains, such as border security, freight via sea or river, natural petroleum production and the fishing industry. Considering the deep underwater-oriented access constraints, energy-centric communication for the lifetime maximization of tiny sensor nodes in UWSNs is one of the key research themes in this domain. Existing literature on green UWSNs are majorly adapted from the existing techniques in traditional wireless sensor network relying on geolocation and the quality of service-centric underwater relay node selection, without paying much attention to the dynamic underwater network environments. To this end, this paper presents an adapted whale and wolf optimization-based energy and delay-centric green underwater networking framework (W-GUN). It focuses on exploiting dynamic underwater network characteristics by effectively utilizing underwater whale-centric optimization in relay node selection. Firstly, an underwater relay node optimization model is mathematically derived, focusing on underwater whale dynamics for incorporating realistic underwater characteristics in networking. Secondly, the optimization model is used to develop an adapted whale and grey wolf optimization algorithm for selecting optimal and stable relay nodes for centric underwater communication paths. Thirdly, a complete workflow of the W-GUN framework is presented with an optimization flowchart. The comparative performance evaluation attests to the benefits of the proposed framework and is compared to state-of-the-art techniques considering various metrics related to underwater network environments.Sensors 2020, 20, 1377 2 of 23 water-based transport applications [6,7], oil, and natural gas production applications [8,9], and developing fishing-centric industries [10,11]. In underwater networking, tiny sensor nodes are deployed underwater, as well as on the upper surface layer for monitoring the specific underwater area [12]. These underwater nodes communicate with the surface nodes, acting as access points or cluster heads for reaching the sink node of the network, which accumulates the information and communicates with the cloud-enabled computing resources [13]. Underwater networking is significantly challenging compared to traditional wireless networking due to the dynamic self-mobility of the medium of communication and constraints in signal propagation in the underwater environment [14][15][16]. In this constrained networking environment, the underwater network deployment-oriented challenges further complicate scientific investigations towards the development of an energy-centric green underwater network for various application domains [17][18][19].Towards enabling green underwater networking, several service and geolocation-centric techniques of varying quality have been suggested [20,21]. A heuristic approach has been suggested in underwater networking for solving the surface gateway deployment o...

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Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

Cited by 103 publications

References 26 publications

Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Medium Access Control (MAC) for Wireless Body Area Network (WBAN): Superframe structure, multiple access technique, taxonomy, and challenges

Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

W-GUN: Whale Optimization for Energy and Delay-Centric Green Underwater Networks

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